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Juan C. Basurto, P. C. and H. C. (2011). A Proximity-Aware Transparent Handoff Mobility Scheme for VoIP Communication over Infrastructure Mesh Networks. In International Congress of Electronic, Electrical and Systems Engineering-INTERCON 2011.
Abstract: Mobility Management plays a key role in Voice-over- IP (VoIP) communications over Wireless Mesh Networks (WMN) as clients should maintain adequate levels of Quality of Service (QoS) as they move across the network. This paper presents PATH, a Proximity-Aware Transparent Handoff mobility scheme for real time voice communications over wireless mesh networks. Our study focuses on Medium Access Control (MAC) layer procedures and relies on gratuitous ARP unicasting in order to provide fast-handoffs. An experimental evaluation has been conducted and its results are shown in this paper.
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Juca Aulestia M., L. J. M., Guaman Quinche J., Coronel Romero E., Chamba Eras L., & Roberto Jacome Galarza. (2020). Open innovation at university: a systematic literature review. Advances in Intelligent Systems and Computing, 1159 AISC, 2020, 3–14.
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Julien Poujol, Cristhian A. Aguilera, Etienne Danos, Boris X. Vintimilla, Ricardo Toledo, & Angel D. Sappa. (2015). A visible-Thermal Fusion based Monocular Visual Odometry. In Iberian Robotics Conference (ROBOT 2015), International Conference on, Lisbon, Portugal, 2015 (Vol. 417, pp. 517–528).
Abstract: The manuscript evaluates the performance of a monocular visual odometry approach when images from different spectra are considered, both independently and fused. The objective behind this evaluation is to analyze if classical approaches can be improved when the given images, which are from different spectra, are fused and represented in new domains. The images in these new domains should have some of the following properties: i) more robust to noisy data; ii) less sensitive to changes (e.g., lighting); iii) more rich in descriptive information, among other. In particular in the current work two different image fusion strategies are considered. Firstly, images from the visible and thermal spectrum are fused using a Discrete Wavelet Transform (DWT) approach. Secondly, a monochrome threshold strategy is considered. The obtained representations are evaluated under a visual odometry framework, highlighting their advantages and disadvantages, using different urban and semi-urban scenarios. Comparisons with both monocular-visible spectrum and monocular-infrared spectrum, are also provided showing the validity of the proposed approach.
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Kevin E. Munoz, L. N. S., Steven S. Araujo, and Boris X. Vintimilla. (2025). Stereo Vision Techniques: A Comparative Study of Traditional and Machine Learning-Based Approaches. In 5th International Conference on Computer Vision and Robotics CVR 2025.
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Leo Ramos & Angel D. Sappa. (2024). Multispectral Semantic Segmentation for Land Cover Classification: An Overview (Vol. Vol. 17).
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Leo Ramos & Angel D. Sappa. A Decade of You Only Look Once (YOLO) for Object Detection: A Review. A Decade of You Only Look Once (YOLO) for Object Detection: A Review, .
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Leo Thomas Ramos & Angel D. Sappa. (2025). Leveraging U-Net and selective feature extraction for land cover classification using remote sensing imagery. Scientific Reports, Vol. 15.
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Leo Thomas Ramos & Angel D. Sappa. (2025). Dual-branch ConvNeXt-based Network with Attentional Fusion Decoding for Land Cover Classification Using Multispectral Imagery. In Conference Proceedings – IEEE SOUTHEASTCON SoutheastCon 2025. Concord, 22 – 30 Marzo 2025 (187–194).
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Leo Thomas Ramos & Angel D. Sappa. (2025). Enhanced Aerial Scene Classification Through ConvNeXt Architectures and Channel Attention. In Lecture Notes in Networks and Systems. 10th International Congress on Information and Communication Technology, ICICT 2025, London 18 – 21 Febrero 2025 (Vol. 1412 LNNS, pp. 225–236).
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Leo Thomas Ramos & Angel D. Sappa. (2025). A Decade of You Only Look Once (YOLO) for Object Detection: A Review. IEEE Access journal, 13, 192747–192794.
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